Aareon
Property management assistant
Daily scheduling, invoicing, and damage reports ate staff hours. AAVA handles them now, freeing staff for tenants and complex decisions.
- AAVA announced to customers in 6 months
- AAVA first version built in 4 weeks
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
A real estate technology provider supports loan origination and asset management through a complex ecosystem of decade-old enterprise applications.
Rising market demand clashed with these legacy systems, causing feature releases to drag on for 9 to 12 months due to extensive maintenance...
“Our objective was to deliver more value to our business units without increasing expense.”
Mortgage and real estate services platform for lenders, investors, and servicers.
Cloud computing platform and on-demand infrastructure services.
Altisource's Legacy code modernization is part of this use case:
Related implementations across industries and use cases
Daily scheduling, invoicing, and damage reports ate staff hours. AAVA handles them now, freeing staff for tenants and complex decisions.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Managers repeated mistakes no one could see. Now calls are scored; stumbles route them to an AI simulator before their next lead.
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
A real estate technology provider supports loan origination and asset management through a complex ecosystem of decade-old enterprise applications.
Rising market demand clashed with these legacy systems, causing feature releases to drag on for 9 to 12 months due to extensive maintenance...
“Our objective was to deliver more value to our business units without increasing expense.”
Mortgage and real estate services platform for lenders, investors, and servicers.
Cloud computing platform and on-demand infrastructure services.
Altisource's Legacy code modernization is part of this use case:
Related implementations across industries and use cases
Daily scheduling, invoicing, and damage reports ate staff hours. AAVA handles them now, freeing staff for tenants and complex decisions.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Managers repeated mistakes no one could see. Now calls are scored; stumbles route them to an AI simulator before their next lead.
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.